混合教学情境下"食品安全"课程探究项目的设计与实践
Design and Practice of"Food Safety"Course Exploration Project in Blended Learning Context
杨科峰 1毛绚霞 1贾洁 1宋芳芳 1沈秀华 1唐文静1
作者信息
- 1. 上海交通大学医学院附属新华医院临床营养科(上海 200092);上海交通大学医学院医学技术学院临床营养系(上海 200092)
- 折叠
摘要
在混合教学模式中融入探究项目进行教学实践,观察教学改革效果以及对大学生学习自我效能感的影响.实验组(n=33)和对照组(n=28)均为食品卫生与营养学专业大三本科生,以必修课"食品安全"作为教学内容,实验组采用探究项目+混合教学模式教学,对照组为探究项目+传统教学模式教学,对比分析2组学生课程目标达成度以及学习自我效能感.结果表明,实验组课程总目标达成度为89.3％,对照组为83.5％.学习内容的多元化、开放性和时效性,学习素材的丰富性以及小组协作学习,是混合教学模式下探究项目促进大学生学习自我效能感的主要因素.在混合教学模式下重新设计的探究项目能够激发大学生学习自我效能感,促进学生自主学习态度和行为,从而提高课程目标达成度.
Abstract
Integrate inquiry projects into blended learning mode for teaching practice,and observe the effectiveness of teaching reform and its impact on the self-efficacy of college students in learning.The experimental group(n=33)and the control group(n=28)are both junior undergraduate students majoring in food hygiene and nutrition,with the compulsory course"Food Safety"as the teaching content.The experimental group adopts project-based teaching+blended teaching mode,while the control group adopts project-based teaching+traditional teaching mode.A comparative analysis is conducted on the achievement of course objectives and learning self-efficacy of the two groups of students.The results show that the overall achievement rate of the experimental group's course objectives is 89.3％,while the control group achieves 83.5％.Diversification,openness,and timeliness of learning content,and the richness of learning materials and group collaborative learning are the main factors that promote the self-efficacy of college students in learning through exploration projects under the blended learning model.The redesigned exploration project in the blended learning mode can stimulate the self-efficacy of college students,promote their attitudes and behaviors towards self-directed learning,and thus improve the achievement of course objectives.
关键词
探究项目教学/混合教学/自我效能感/课程目标达成度Key words
exploration project teaching/blended learning/self efficacy/achievement of course objectives引用本文复制引用
出版年
2024
NETL
NSTL
万方数据